About this book
This small book contains all statistical tests that are relevant for starters
on SPSS. Each test is explained using a data example from clinical practice,
including every step in SPSS and the main tables of results with an accompanying
text with interpretations of the results and hints convenient for data reporting,
i.e., scientific clinical articles and poster presentations.. In order to facilitate
the use of this cookbook the data files of the examples are made available by
the publisher on the Internet. For investigators who wish to perform their own
data analyses from the very start the book can be used as a step-by-step guideline.
They can enter their separate data or enter their entire data file, e.g., from
Excel, simply by opening an Excel file in SPSS. SPSS statistical software is
a user-friendly statistical software with many help and tutor pages. However,
for the novices on SPSS an even more basic approach is welcome. The book is
meant for this very purpose, and can be used without the help of a teacher.
The authors are well-aware that this cookbook contains a minimal amount of text
and a maximal technical details, but we believe that this property will not
refrain students from mastering the SPSS software systematic, and that, instead,
it will even be a help to that aim. Yet, we recommend that it be used together
with the textbook “Statistics Applied to Clinical Trials” by Cleophas
et al, 4th Edition, 2009, Springer Dordrecht.
Content Level » Research
Keywords » analysis of variance - continuous and binary data - paired and unpaired data - regression methods - reliability assessments
Related subjects » Biomedical Sciences - Computational Statistics - Image Processing - Statistical Theory and Methods - Statistics
Table of contents
1. Introduction.- 2. One sample continuous and binary data (t-test, z-test).- 3. Paired continuous data (paired t-test, Wilcoxon).- 4. Unpaired continuous data (unpaired t-test, Mann-Whitney).- 5. Linear regression.- 6. Repeated-measures-ANOVA, Friedman.- 7. Mixed models.- 8. One-way-ANOVA, Kruskall-Wallis.- 9. Trend tests of continuous data.- 10. Unpaired binary data (crosstabs).- 11. Logistic regression.- 12. Trend tests of binary data.- 13. Paired binary data (McNemar’s chi-square test).- 14. Multiple paired binary data (Cochran’s Q test).- 15. Cox regression.- 16. Cox regression with time-dependent variables.- 17. Validating qualitative diagnostic tests.- 18. Validating quantitative diagnostic tests.- 19. Reliability assessment of qualitative diagnostic tests.- 20. Reliability assessment of quantitative diagnostic tests.- Final remarks.- Index.